Top Data & Analytics Jobs

Designs, builds, and maintains scalable Databricks and PySpark data pipelines; develops Python and SQL transformations; identifies insights from ambiguous datasets; and ensures data quality, governance, documentation, and reliable delivery. Collaborates with stakeholders and cross-functional teams to integrate data into applications and dashboards, troubleshoot pipeline issues, and support a Department of Defense Navy client.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Build and automate data tools, analytics libraries, dashboards, reports, and workflows for a systematic trading firm’s COO team. Integrate PostgreSQL, REST APIs, and Kafka data sources; develop AI-assisted natural-language data tools; automate recurring operational processes; perform ad-hoc analyses; and collaborate with technology, risk, operations, and execution teams to validate data quality and improve platform efficiency.

Develops and maintains automated data and analytical products for a government customer. Combines diverse intelligence and publicly available data sources, performs statistical analysis, creates production-quality software, manages version-controlled repositories, defines system requirements, tracks milestones, and validates system performance. Communicates technical findings and data products to technical and non-technical stakeholders, supporting time-sensitive operational decisions.

Own Marketing’s reporting and analytics layer by building executive dashboards, defining KPIs, modeling data across GTM systems, and establishing governance and trusted sources of truth. Partner cross-functionally to measure funnel performance, attribution, campaigns, pipeline, and ROI. Help evaluate and develop AI-powered analytics, conversational reporting, automated insights, and intelligent visualization while translating complex data into actionable recommendations for leadership.

Develop and operate scalable data pipelines, AI and data solutions, and interactive dashboards for federal financial management modernization programs. Collaborate with clients on data architecture and reporting needs, using Databricks or Palantir, Python, Spark, SQL, Qlik, Microsoft Power Platform, and Tableau. Apply AI and machine learning to automate metadata extraction, clustering, and dashboard scripting while delivering measurable client outcomes.

Designs and maintains scalable enterprise data architectures and ETL/ELT pipelines on Microsoft Fabric and Azure. Responsibilities include developing Python-based data solutions, optimizing Fabric warehouses and lakehouses, implementing governance, security, lineage, monitoring, and CI/CD, and integrating diverse data sources. The role partners with data science, machine learning, business intelligence, engineering, and business teams to support analytics and model training while improving platform reliability, scalability, and cost efficiency.

Leads global tracking engagements, managing client relationships, research projects, data collection, processing, analysis, reporting, and insight development. Supervises and mentors team members, coordinates workloads, manages timelines and financial outcomes, and advises clients and business leaders. Collaborates with programming, design, marketing, data collection, and data science teams while applying market research expertise and basic SPSS skills.

Monitor real-time workforce performance, staffing, service metrics, and workload demands. Recommend schedule and staffing adjustments, analyze trends and operational risks, communicate workforce insights to leadership, and support workforce management systems, reporting, process improvements, implementations, and special projects.

Leads and supports database design, development, administration, optimization, and maintenance. Develops database schemas, parser and loading software, queries, scripts, and macros while aligning structures with system architecture. Directs requirements fulfillment, data organization, storage and retrieval, and complex database systems using cloud methodologies. Requires extensive Oracle platform experience, Linux and Bash skills, a current poly clearance, and substantial database engineering experience.